太赫兹辐射
分析化学(期刊)
质量分数
太赫兹光谱与技术
分数(化学)
材料科学
化学
色谱法
光电子学
复合材料
作者
Xing-Xing Lu,Li‐Ping Xu,Lan Luo,Zaoxia Li,Tianying Chang,Dongshan Wei,Hong‐Liang Cui
出处
期刊:ACS Photonics
[American Chemical Society]
日期:2023-08-21
卷期号:10 (9): 3149-3160
被引量:3
标识
DOI:10.1021/acsphotonics.3c00525
摘要
A novel combination of terahertz time-domain spectroscopy (THz-TDS) and weak value amplification (WVA) is employed to quantify the glucose content of various forms, such as glucose thin films with concentrations from 0.01 to 0.10 mg/mL, glucose solutions with concentrations from 0.01 to 0.10 mg/mL, and glucose tablets with mass fraction varying from 5.0 to 10.0%, which drastically outperforms the classical THz-TDS detection technique. The small concentration and mass fraction changes of glucose samples in various forms that are beyond the traditional THz-TDS detection limit can be detected by the introduction of WVA. For glucose thin films and solutions, the minimum detectable concentration difference is 1–2 orders of magnitude lower and 1–4 orders of magnitude lower, respectively, than the previously accessible THz limits. The detectable mass fraction gradient of glucose tablets is comparable to that of previous studies, but the minimum detectable mass fraction in this work is lower. A general theoretical model to describe the preselected and postselected THz sensing system is established, and the polarization-dependent amplitude and phase evolution induced by changes in sample concentration or mass fraction are shown to correlate with the weak interaction between the THz photon and the target molecules in the WVA formalism. It is shown that WVA significantly suppresses the technical noise with respect to the intensity difference signal induced by the changes in sample concentration or mass fraction when the preselection and postselection procedures come into play. These findings may be favorable for highly sensitive THz detection, including minor changes in the parameters of the test object and interactions between biomolecules.
科研通智能强力驱动
Strongly Powered by AbleSci AI